Table 2 Performance of the semantic similarity networks in the validation experiments. Candidate genes are selected from the semantic similarity networks.
From: Constructing a gene semantic similarity network for the inference of disease genes
| Â | Resnik (%) | Schlicker (%) | Lin (%) | Wang (%) |
|---|---|---|---|---|
Linkage interval | Â | Â | Â | Â |
MRR | 10.41 | 10.70 | 10.84 | 10.95 |
AUC | 90.50 | 90.20 | 90.06 | 89.95 |
Random genes | Â | Â | Â | Â |
MRR | 10.19 | 10.48 | 10.62 | 10.79 |
AUC | 90.72 | 90.42 | 90.68 | 90.11 |
Random genes (999) | Â | Â | Â | Â |
MRR | 10.14 | 10.49 | 10.60 | 10.81 |
AUC | 90.36 | 90.01 | 89.91 | 89.69 |
Genome-wide scan | Â | Â | Â | Â |
MRR | 10.16 | 10.49 | 10.60 | 10.81 |
AUC | 90.10 | 89.77 | 89.66 | 89.45 |